AI Training Sound Engineering Specialist

Role overview Improve AI models that work with sound by annotating audio data and checking generated content. You will bring sound engineering or audio processing knowledge to training projects, helping ensure that assessments and datasets are accurate enough to support machine learning applications.

Responsibilities - Annotate audio data in detail to support AI model training. - Review generated sound content for accuracy and relevance. - Apply domain knowledge to improve model performance in sound analysis. - Contribute to projects across audio-related fields. - Assess training data carefully to maintain quality for machine learning.

Requirements - A bachelor’s degree in sound engineering, audio technology, or a related field. - Experience in sound engineering or audio data processing. - Strong attention to detail, including when working with audio files of varying quality. - Familiarity with AI training processes and data annotation tools. - Clear communication and the ability to collaborate across teams.

Nice to have - Knowledge of machine learning concepts and their use in audio. - Familiarity with audio editing software and tools. - Previous experience in data annotation or AI model training.

Benefits and work setup The source describes a collaborative setting focused on innovation and professional growth, with opportunities to contribute to AI projects and build skills in AI and sound engineering. It does not specify compensation, location, or other benefits.